Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "104" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 84 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 80 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.669755 | -0.467904 | 8.042293 | -0.472387 | 0.894857 | -0.255520 | 5.472066 | -0.693073 | 0.8145 | 0.8148 | 0.2358 | 12.504330 | 12.607112 |
| 2459593 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.444214 | -0.088791 | 8.765010 | -0.615816 | 0.078809 | -1.035409 | 2.764437 | -0.896978 | 0.7577 | 0.7500 | 0.2470 | 5.489890 | 5.339013 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.254005 | -0.992085 | 0.442413 | 1.575799 | -0.326962 | 0.142641 | -1.923749 | -0.168209 | 0.0306 | 0.0279 | 0.0005 | nan | nan |
| 2459591 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.468501 | -0.081534 | 10.850893 | 0.255622 | 0.083010 | -0.133604 | -0.488204 | -0.930897 | 0.6910 | 0.7028 | 0.3621 | 4.268058 | 4.448180 |
| 2459590 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.094975 | 0.291116 | 10.776500 | -0.375406 | 0.167171 | 1.901191 | 0.058197 | -0.935806 | 0.6914 | 0.7013 | 0.3577 | 5.849115 | 5.916475 |
| 2459589 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.543788 | -0.401365 | 9.601300 | -1.042338 | 1.118744 | -1.082255 | 4.156268 | -0.906123 | 0.7379 | 0.7303 | 0.2760 | 5.751909 | 5.655925 |
| 2459588 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.374424 | -1.236711 | 11.601281 | -0.473816 | 0.275465 | 0.027883 | 2.542408 | -0.368308 | 0.8010 | 0.7850 | 0.2093 | 9.941707 | 8.497025 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | -1.033658 | 0.319817 | 15.602793 | 1.685175 | 2.439788 | -0.668747 | 2.301429 | -0.003642 | nan | nan | nan | 36.612657 | 27.282717 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.89% | 5.95% | -0.482707 | -0.560409 | -0.471373 | -0.719844 | -0.117885 | -0.540463 | 0.101072 | -0.767513 | 0.6833 | 0.6909 | 0.3529 | 1.525247 | 1.521143 |
| 2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.561760 | 0.282543 | 0.112888 | -0.934261 | -0.634115 | 0.728157 | -0.686977 | -0.327963 | 0.0305 | 0.0305 | 0.0008 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 17.698622 | 17.672143 | 1.391849 | 1.336286 | 2.984365 | 3.815056 | -0.578123 | -0.836472 | 0.6934 | 0.7016 | 0.3728 | 0.000000 | 0.000000 |
| 2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 80.65% | 19.35% | -0.958218 | 0.070076 | 0.122207 | -0.853857 | -0.767092 | 0.503463 | -0.430110 | -0.709561 | 0.6932 | 0.6992 | 0.3750 | 0.000000 | 0.000000 |
| 2459582 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 45.95% | 0.00% | -0.884281 | -0.002806 | -0.003515 | -0.732165 | -0.925309 | -0.085828 | -0.520857 | -0.854471 | 0.6948 | 0.7014 | 0.3785 | 1.290015 | 1.257273 |
| 2459581 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 19.46% | 0.00% | -1.190598 | 0.134235 | 0.668317 | -0.911940 | -0.934922 | -0.112750 | 0.487471 | -0.827086 | 0.7047 | 0.7091 | 0.3715 | 1.660320 | 1.609926 |
| 2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.925034 | 0.108720 | 0.197461 | -0.816893 | -0.130824 | 0.384984 | 3.479779 | -0.710821 | 0.6956 | 0.7030 | 0.3724 | 0.000000 | 0.000000 |
| 2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -0.776845 | -0.062034 | 0.536038 | -0.742537 | 1.657250 | -0.150210 | 0.675165 | -0.804767 | 0.6938 | 0.7021 | 0.3748 | 1.449061 | 1.405457 |
| 2459578 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.472853 | -0.558412 | 0.363269 | 1.069400 | 5.157202 | 0.007977 | 1.500177 | -0.814812 | 0.0288 | 0.0299 | 0.0008 | nan | nan |
| 2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -1.170842 | -0.107690 | 0.451194 | -0.873284 | -0.489686 | -0.177702 | -0.173982 | -0.861828 | 0.6966 | 0.7038 | 0.3728 | 1.513369 | 1.490615 |
| 2459576 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.807161 | -0.325632 | 0.976472 | -0.633189 | 1.233880 | -0.938348 | 5.406819 | -0.730762 | 0.7160 | 0.7244 | 0.3729 | 5.075559 | 4.833782 |
| 2459575 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -1.223584 | -0.429914 | 1.030906 | -0.514990 | 0.281135 | -0.600780 | 1.668760 | -0.554669 | 0.7757 | 0.7757 | 0.3140 | 1.506909 | 1.519419 |
| 2459574 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.970897 | -0.291877 | 0.392364 | -0.694413 | -0.370090 | -1.374230 | -0.597733 | 1.376145 | 0.7115 | 0.7193 | 0.3722 | 1.659971 | 1.640285 |
| 2459573 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.672043 | -0.244372 | 0.407020 | -0.874187 | -1.191961 | 0.569896 | -0.198975 | -0.181663 | 0.7159 | 0.7229 | 0.3671 | 1.508736 | 1.560317 |
| 2459572 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 27.57% | 0.00% | -0.905823 | -0.574207 | 0.321093 | -0.676949 | -0.783610 | -0.506776 | 0.263795 | -0.184952 | 0.7179 | 0.7235 | 0.3700 | 1.449140 | 1.393800 |
| 2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.958464 | -0.617350 | 0.609508 | 0.808976 | -0.879900 | -1.315005 | -1.054982 | -0.960929 | 0.0379 | 0.0294 | 0.0008 | nan | nan |
| 2459570 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | -0.713999 | -0.624655 | 0.371899 | -0.877468 | -0.419507 | -0.969671 | 0.310854 | -1.012526 | 0.7896 | 0.7903 | 0.2224 | 2.075861 | 1.893933 |
| 2459566 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | -1.009797 | -0.431998 | -0.240303 | -0.841534 | -0.787314 | -0.464576 | -0.387836 | -0.786572 | 0.7072 | 0.7132 | 0.3841 | 1.476021 | 1.455702 |
| 2459565 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 6.94% | 0.00% | -1.716381 | -1.195082 | 0.613288 | -0.327186 | -0.543476 | -0.749150 | 0.075909 | -0.138736 | 0.7285 | 0.7276 | 0.3806 | 1.577810 | 1.465529 |
| 2459563 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.816619 | -0.322548 | -0.221485 | -0.793244 | 0.297370 | 1.387355 | -0.210238 | -0.784682 | 0.7187 | 0.7226 | 0.3797 | 1.729763 | 1.628788 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -1.576121 | -1.161769 | 0.309935 | -0.104840 | 0.027534 | -0.061928 | 0.256983 | -0.031061 | 0.7230 | 0.7296 | 0.3754 | 1.605154 | 1.543258 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -1.614527 | -1.016108 | -0.180079 | -0.432527 | -0.593602 | -0.656207 | 0.010162 | -0.575442 | 0.7236 | 0.7313 | 0.3727 | 1.526349 | 1.548047 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -1.308023 | -0.963716 | 0.093004 | -0.385710 | -0.191174 | -0.507068 | 0.089630 | -0.498364 | 0.7161 | 0.7233 | 0.3846 | 1.559993 | 1.518562 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.91% | 0.00% | -1.684765 | -0.990214 | 0.145360 | -0.331860 | -0.682667 | -0.863178 | 0.212446 | -0.361028 | 0.7209 | 0.7254 | 0.3708 | 1.494224 | 1.445922 |
| 2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.792359 | -0.240903 | -0.680524 | -0.425975 | -0.271301 | 0.208800 | -0.157032 | -0.772050 | 0.7246 | 0.7253 | 0.3780 | 1.565813 | 1.491855 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0296 | 0.0284 | 0.0008 | nan | nan |
| 2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.615353 | 0.047984 | -0.830183 | -0.619657 | -0.551132 | -0.287934 | -0.377276 | -1.173779 | 0.7237 | 0.7259 | 0.3738 | 1.580737 | 1.513812 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7241 | 0.7274 | 0.3850 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7237 | 0.7260 | 0.3823 | nan | nan |
| 2459552 | digital_ok | 100.00% | 3.78% | 0.00% | 0.00% | 100.00% | 0.00% | 0.668585 | 2.094732 | -0.145779 | -0.514975 | 48.594885 | 10.217468 | 18.004664 | -0.369921 | 0.7063 | 0.7265 | 0.3829 | 7.654706 | 8.614780 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -1.444864 | -0.998617 | -0.006471 | -0.483061 | -0.701925 | -0.705966 | 0.022203 | -0.227429 | 0.7256 | 0.7277 | 0.3720 | 1.501630 | 1.437620 |
| 2459550 | digital_ok | - | 96.71% | 96.71% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0456 | 0.0451 | 0.0004 | nan | nan |
| 2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.783280 | -0.125179 | -0.720497 | -0.757268 | -0.969886 | -0.555657 | -0.414192 | -0.825896 | 0.7243 | 0.7286 | 0.3817 | 1.576607 | 1.553400 |
| 2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -0.155213 | -0.297218 | -0.511551 | 0.454939 | -0.381491 | -0.581530 | -0.191119 | -0.600831 | 0.7715 | 0.7756 | 0.3331 | 1.681479 | 1.508975 |
| 2459541 | digital_ok | 0.00% | 1.34% | 1.79% | 0.00% | 21.88% | 0.00% | -0.012914 | -0.314115 | -0.938688 | -0.447839 | -0.814592 | -1.075398 | -0.022678 | -0.611637 | 0.7661 | 0.7591 | 0.3145 | 1.487675 | 1.465798 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 0.00% | -1.554299 | -0.777233 | -0.422042 | -0.690963 | -0.128041 | 1.289872 | -0.381269 | -0.701705 | 0.7712 | 0.7693 | 0.3253 | 1.506093 | 1.432946 |
| 2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -0.981474 | -0.412683 | -0.173190 | -0.638258 | -0.446138 | -0.962546 | -0.129205 | -0.014831 | 0.7545 | 0.7512 | 0.3958 | 1.607430 | 1.450189 |
| 2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | -1.171261 | -0.810324 | -0.228493 | -0.773195 | 0.114013 | 1.402293 | -0.253508 | 1.707935 | 0.7971 | 0.7844 | 0.3339 | 1.555816 | 1.471629 |
| 2459534 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 20.98% | 0.00% | -1.351378 | -0.944097 | -0.272231 | -0.830110 | 0.868514 | 1.861793 | -0.038351 | -0.598852 | 0.7852 | 0.7738 | 0.3413 | 1.553562 | 1.531103 |
| 2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.00% | -0.521102 | -0.431981 | -0.826082 | 0.026124 | -0.711614 | 0.562565 | -0.132373 | -0.842417 | 0.7380 | 0.7429 | 0.3830 | 1.522739 | 1.477759 |
| 2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 0.00% | -0.314914 | -0.211647 | -0.900736 | -0.196610 | -0.577393 | 0.012140 | -0.427519 | -0.438247 | 0.7421 | 0.7403 | 0.3782 | 1.586520 | 1.472517 |
| 2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 0.00% | -1.503203 | -1.242551 | -0.175910 | -0.544785 | -0.404332 | -0.506448 | 0.056520 | -0.272309 | 0.7576 | 0.7527 | 0.3811 | 1.503302 | 1.456626 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.961074 | -0.405866 | -0.877027 | 0.393590 | -0.204854 | -1.312805 | -0.545479 | -0.731149 | 0.9202 | 0.9475 | 0.2712 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 0.00% | - | - | - | 12.24% | 0.00% | -1.047274 | -0.314150 | -0.938400 | 0.113977 | 0.096840 | -0.824055 | -0.437935 | -1.008479 | nan | nan | nan | 2.290524 | 2.097437 |
| 2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.520277 | -0.504599 | -1.051275 | -0.085797 | -0.719606 | -0.654632 | -0.142428 | -0.912259 | 0.7166 | 0.7329 | 0.3230 | 1.956267 | 1.837270 |
| 2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.834885 | -0.458960 | 0.652230 | 0.632250 | -1.090527 | -0.393278 | -0.377462 | -0.662908 | 0.0511 | 0.0331 | 0.0021 | nan | nan |
| 2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -1.075376 | 0.012753 | -0.928397 | -0.206030 | -0.225103 | -0.292678 | -1.312753 | -0.878170 | 0.9275 | 0.9593 | 0.1530 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.471894 | -0.370274 | -0.691696 | -0.851332 | -0.242710 | -0.524700 | -0.476307 | -0.169252 | 0.8908 | 0.8782 | 0.1815 | 5.105972 | 4.191054 |
| 2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | -0.988094 | -0.304663 | -0.849673 | -0.264812 | -0.575674 | -1.183647 | 0.238620 | -0.525386 | 0.8923 | 0.8884 | 0.4142 | 0.000000 | 0.000000 |
| 2459501 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 76.74% | 0.00% | -0.503764 | 0.512487 | -0.231818 | 0.516511 | -0.232728 | 0.281771 | -0.283520 | -0.845187 | 0.8973 | 0.9246 | 0.3587 | 0.000000 | 0.000000 |
| 2459500 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.720505 | 0.926308 | -0.334811 | 0.718994 | -0.681859 | -0.084992 | -0.790481 | -0.647925 | 0.9079 | 0.9230 | 0.3509 | 0.000000 | 0.000000 |
| 2459499 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.37% | 0.00% | -1.277195 | 0.896788 | -0.674438 | 0.604731 | -0.856135 | -0.445451 | -0.584615 | -0.572074 | 0.9024 | 0.9503 | 0.1622 | 0.000000 | 0.000000 |
| 2459498 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.833546 | 0.515355 | -0.663871 | 0.339331 | -0.775213 | -0.687224 | -0.034824 | -0.252821 | 0.9164 | 0.9261 | 0.3760 | 0.000000 | 0.000000 |
| 2459497 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.37% | 0.00% | -0.695197 | 2.833155 | -0.673616 | 1.243434 | -1.102731 | -0.315088 | -0.669826 | 1.568949 | 0.9239 | 0.9409 | 0.3199 | 0.000000 | 0.000000 |
| 2459496 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -1.171732 | 0.222714 | -0.784480 | 0.212799 | -1.253635 | -1.370239 | 0.322923 | -0.681975 | 0.8983 | 0.9098 | 0.3562 | 0.000000 | 0.000000 |
| 2459495 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -1.107500 | 0.217610 | -0.806936 | 0.316186 | -0.949853 | -0.916296 | 0.256762 | -0.108860 | 0.8949 | 0.9055 | 0.3966 | 0.000000 | 0.000000 |
| 2459494 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.834720 | 1.187578 | -0.535523 | 0.764536 | -1.191640 | -0.787317 | -0.442696 | -1.148291 | 0.8933 | 0.9013 | 0.4024 | 0.000000 | 0.000000 |
| 2459492 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.132164 | 1.226393 | -1.294680 | 0.382698 | 0.727308 | 3.208103 | 16.749921 | 23.321395 | 0.7613 | 0.8084 | 0.3225 | 0.000000 | 0.000000 |
| 2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.360639 | 0.942705 | -1.002449 | -0.578905 | 0.218789 | -1.322395 | -0.739123 | -0.941875 | 0.8004 | 0.8236 | 0.2629 | 0.000000 | 0.000000 |
| 2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.577947 | 0.866934 | -0.727902 | -0.676080 | 0.906620 | -0.508509 | 0.036256 | -0.674883 | 0.7589 | 0.8089 | 0.3569 | 0.000000 | 0.000000 |
| 2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.445062 | 0.641733 | -1.225697 | -0.494089 | 1.398729 | -0.315156 | -0.223438 | -0.847049 | 0.7759 | 0.8154 | 0.3085 | 0.000000 | 0.000000 |
| 2459488 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.315962 | 6.178594 | 0.146678 | 4.874441 | 1.971834 | 14.830989 | 45.118575 | 123.626615 | 0.7652 | 0.7894 | 0.3368 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 8.545684 | -0.318410 | -0.696071 | -1.075349 | 8.545684 | 0.352013 | -0.303392 | 3.451415 | -0.152590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 6.438479 | -0.189947 | 1.187945 | -0.948714 | 5.665244 | -0.762451 | 6.438479 | 1.009085 | -0.103574 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 1.842715 | 0.743834 | -0.430919 | 1.842715 | 1.100921 | -0.657878 | 0.320644 | -1.588125 | -0.208152 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 7.475908 | -0.716601 | -0.383963 | 7.475908 | -0.902769 | 0.197883 | 1.078192 | 1.160896 | 0.141088 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 7.156499 | -0.308470 | -0.177631 | 7.156499 | -0.212172 | -0.920322 | -0.628302 | -0.109211 | -0.582876 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 8.681362 | -0.084389 | -0.561794 | 0.004168 | 8.681362 | 0.758849 | -0.653035 | -0.811129 | -0.158546 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 7.410318 | -0.023515 | -0.013959 | 7.410318 | -0.523051 | -0.572404 | -0.010686 | -0.074631 | -0.927150 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 8.238311 | -0.122527 | -0.669877 | 0.016267 | 8.238311 | -0.336004 | -0.347402 | -0.717070 | 0.694812 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 7.602756 | -0.127351 | -0.691468 | 0.240234 | 7.602756 | 0.465812 | -0.160106 | -0.753712 | 0.362700 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 9.849002 | -0.060743 | 0.683723 | -0.679029 | 7.722917 | -1.001834 | 9.849002 | -0.634932 | 8.812952 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 8.042293 | 0.669755 | -0.467904 | 8.042293 | -0.472387 | 0.894857 | -0.255520 | 5.472066 | -0.693073 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 8.765010 | -0.444214 | -0.088791 | 8.765010 | -0.615816 | 0.078809 | -1.035409 | 2.764437 | -0.896978 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 1.575799 | -0.992085 | 0.254005 | 1.575799 | 0.442413 | 0.142641 | -0.326962 | -0.168209 | -1.923749 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 10.850893 | -0.081534 | -0.468501 | 0.255622 | 10.850893 | -0.133604 | 0.083010 | -0.930897 | -0.488204 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 10.776500 | 0.094975 | 0.291116 | 10.776500 | -0.375406 | 0.167171 | 1.901191 | 0.058197 | -0.935806 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 9.601300 | -0.401365 | -0.543788 | -1.042338 | 9.601300 | -1.082255 | 1.118744 | -0.906123 | 4.156268 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 11.601281 | -0.374424 | -1.236711 | 11.601281 | -0.473816 | 0.275465 | 0.027883 | 2.542408 | -0.368308 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 15.602793 | 0.319817 | -1.033658 | 1.685175 | 15.602793 | -0.668747 | 2.439788 | -0.003642 | 2.301429 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.101072 | -0.482707 | -0.560409 | -0.471373 | -0.719844 | -0.117885 | -0.540463 | 0.101072 | -0.767513 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.728157 | -0.561760 | 0.282543 | 0.112888 | -0.934261 | -0.634115 | 0.728157 | -0.686977 | -0.327963 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Shape | 17.698622 | 17.698622 | 17.672143 | 1.391849 | 1.336286 | 2.984365 | 3.815056 | -0.578123 | -0.836472 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.503463 | -0.958218 | 0.070076 | 0.122207 | -0.853857 | -0.767092 | 0.503463 | -0.430110 | -0.709561 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | -0.002806 | -0.002806 | -0.884281 | -0.732165 | -0.003515 | -0.085828 | -0.925309 | -0.854471 | -0.520857 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.668317 | -1.190598 | 0.134235 | 0.668317 | -0.911940 | -0.934922 | -0.112750 | 0.487471 | -0.827086 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 3.479779 | 0.108720 | -0.925034 | -0.816893 | 0.197461 | 0.384984 | -0.130824 | -0.710821 | 3.479779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 1.657250 | -0.776845 | -0.062034 | 0.536038 | -0.742537 | 1.657250 | -0.150210 | 0.675165 | -0.804767 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 5.157202 | -0.472853 | -0.558412 | 0.363269 | 1.069400 | 5.157202 | 0.007977 | 1.500177 | -0.814812 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.451194 | -0.107690 | -1.170842 | -0.873284 | 0.451194 | -0.177702 | -0.489686 | -0.861828 | -0.173982 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 5.406819 | -0.325632 | -0.807161 | -0.633189 | 0.976472 | -0.938348 | 1.233880 | -0.730762 | 5.406819 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 1.668760 | -0.429914 | -1.223584 | -0.514990 | 1.030906 | -0.600780 | 0.281135 | -0.554669 | 1.668760 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | 1.376145 | -0.970897 | -0.291877 | 0.392364 | -0.694413 | -0.370090 | -1.374230 | -0.597733 | 1.376145 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.569896 | -0.244372 | -0.672043 | -0.874187 | 0.407020 | 0.569896 | -1.191961 | -0.181663 | -0.198975 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.321093 | -0.574207 | -0.905823 | -0.676949 | 0.321093 | -0.506776 | -0.783610 | -0.184952 | 0.263795 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.808976 | -0.617350 | -0.958464 | 0.808976 | 0.609508 | -1.315005 | -0.879900 | -0.960929 | -1.054982 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.371899 | -0.624655 | -0.713999 | -0.877468 | 0.371899 | -0.969671 | -0.419507 | -1.012526 | 0.310854 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | -0.240303 | -0.431998 | -1.009797 | -0.841534 | -0.240303 | -0.464576 | -0.787314 | -0.786572 | -0.387836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.613288 | -1.716381 | -1.195082 | 0.613288 | -0.327186 | -0.543476 | -0.749150 | 0.075909 | -0.138736 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 1.387355 | -0.816619 | -0.322548 | -0.221485 | -0.793244 | 0.297370 | 1.387355 | -0.210238 | -0.784682 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.309935 | -1.576121 | -1.161769 | 0.309935 | -0.104840 | 0.027534 | -0.061928 | 0.256983 | -0.031061 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.010162 | -1.614527 | -1.016108 | -0.180079 | -0.432527 | -0.593602 | -0.656207 | 0.010162 | -0.575442 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.093004 | -1.308023 | -0.963716 | 0.093004 | -0.385710 | -0.191174 | -0.507068 | 0.089630 | -0.498364 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.212446 | -1.684765 | -0.990214 | 0.145360 | -0.331860 | -0.682667 | -0.863178 | 0.212446 | -0.361028 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.208800 | -0.240903 | -0.792359 | -0.425975 | -0.680524 | 0.208800 | -0.271301 | -0.772050 | -0.157032 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.047984 | 0.047984 | -0.615353 | -0.619657 | -0.830183 | -0.287934 | -0.551132 | -1.173779 | -0.377276 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 48.594885 | 2.094732 | 0.668585 | -0.514975 | -0.145779 | 10.217468 | 48.594885 | -0.369921 | 18.004664 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.022203 | -0.998617 | -1.444864 | -0.483061 | -0.006471 | -0.705966 | -0.701925 | -0.227429 | 0.022203 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | -0.125179 | -0.783280 | -0.125179 | -0.720497 | -0.757268 | -0.969886 | -0.555657 | -0.414192 | -0.825896 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.454939 | -0.297218 | -0.155213 | 0.454939 | -0.511551 | -0.581530 | -0.381491 | -0.600831 | -0.191119 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Shape | -0.012914 | -0.314115 | -0.012914 | -0.447839 | -0.938688 | -1.075398 | -0.814592 | -0.611637 | -0.022678 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 1.289872 | -0.777233 | -1.554299 | -0.690963 | -0.422042 | 1.289872 | -0.128041 | -0.701705 | -0.381269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | -0.014831 | -0.412683 | -0.981474 | -0.638258 | -0.173190 | -0.962546 | -0.446138 | -0.014831 | -0.129205 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | 1.707935 | -1.171261 | -0.810324 | -0.228493 | -0.773195 | 0.114013 | 1.402293 | -0.253508 | 1.707935 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 1.861793 | -0.944097 | -1.351378 | -0.830110 | -0.272231 | 1.861793 | 0.868514 | -0.598852 | -0.038351 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.562565 | -0.521102 | -0.431981 | -0.826082 | 0.026124 | -0.711614 | 0.562565 | -0.132373 | -0.842417 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Variability | 0.012140 | -0.314914 | -0.211647 | -0.900736 | -0.196610 | -0.577393 | 0.012140 | -0.427519 | -0.438247 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.056520 | -1.242551 | -1.503203 | -0.544785 | -0.175910 | -0.506448 | -0.404332 | -0.272309 | 0.056520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.393590 | -0.961074 | -0.405866 | -0.877027 | 0.393590 | -0.204854 | -1.312805 | -0.545479 | -0.731149 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.113977 | -1.047274 | -0.314150 | -0.938400 | 0.113977 | 0.096840 | -0.824055 | -0.437935 | -1.008479 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | -0.085797 | -0.504599 | -0.520277 | -0.085797 | -1.051275 | -0.654632 | -0.719606 | -0.912259 | -0.142428 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Power | 0.652230 | -0.458960 | -0.834885 | 0.632250 | 0.652230 | -0.393278 | -1.090527 | -0.662908 | -0.377462 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.012753 | 0.012753 | -1.075376 | -0.206030 | -0.928397 | -0.292678 | -0.225103 | -0.878170 | -1.312753 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | -0.189209 | -1.272957 | -0.421434 | -1.125871 | -0.328193 | -0.281422 | -0.703364 | -0.189209 | -0.595756 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | -0.169252 | -0.370274 | -0.471894 | -0.851332 | -0.691696 | -0.524700 | -0.242710 | -0.169252 | -0.476307 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.238620 | -0.988094 | -0.304663 | -0.849673 | -0.264812 | -0.575674 | -1.183647 | 0.238620 | -0.525386 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.516511 | -0.503764 | 0.512487 | -0.231818 | 0.516511 | -0.232728 | 0.281771 | -0.283520 | -0.845187 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.926308 | -0.720505 | 0.926308 | -0.334811 | 0.718994 | -0.681859 | -0.084992 | -0.790481 | -0.647925 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.896788 | 0.896788 | -1.277195 | 0.604731 | -0.674438 | -0.445451 | -0.856135 | -0.572074 | -0.584615 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.515355 | -0.833546 | 0.515355 | -0.663871 | 0.339331 | -0.775213 | -0.687224 | -0.034824 | -0.252821 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 2.833155 | 2.833155 | -0.695197 | 1.243434 | -0.673616 | -0.315088 | -1.102731 | 1.568949 | -0.669826 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Discontinuties | 0.322923 | -1.171732 | 0.222714 | -0.784480 | 0.212799 | -1.253635 | -1.370239 | 0.322923 | -0.681975 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Power | 0.316186 | -1.107500 | 0.217610 | -0.806936 | 0.316186 | -0.949853 | -0.916296 | 0.256762 | -0.108860 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 1.187578 | 1.187578 | -0.834720 | 0.764536 | -0.535523 | -0.787317 | -1.191640 | -1.148291 | -0.442696 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | 23.321395 | 1.226393 | 0.132164 | 0.382698 | -1.294680 | 3.208103 | 0.727308 | 23.321395 | 16.749921 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Shape | 0.942705 | -0.360639 | 0.942705 | -1.002449 | -0.578905 | 0.218789 | -1.322395 | -0.739123 | -0.941875 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 0.906620 | 0.866934 | -0.577947 | -0.676080 | -0.727902 | -0.508509 | 0.906620 | -0.674883 | 0.036256 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | ee Temporal Variability | 1.398729 | -0.445062 | 0.641733 | -1.225697 | -0.494089 | 1.398729 | -0.315156 | -0.223438 | -0.847049 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 104 | 8 | digital_ok | nn Temporal Discontinuties | 123.626615 | 1.315962 | 6.178594 | 0.146678 | 4.874441 | 1.971834 | 14.830989 | 45.118575 | 123.626615 |